GenVisR

This is the development version of GenVisR; for the stable release version, see GenVisR.

Genomic Visualizations in R


Bioconductor version: Development (3.20)

Produce highly customizable publication quality graphics for genomic data primarily at the cohort level.

Author: Zachary Skidmore [aut, cre], Alex Wagner [aut], Robert Lesurf [aut], Katie Campbell [aut], Jason Kunisaki [aut], Obi Griffith [aut], Malachi Griffith [aut]

Maintainer: Zachary Skidmore <zlskidmore at gmail.com>

Citation (from within R, enter citation("GenVisR")):

Installation

To install this package, start R (version "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("GenVisR")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("GenVisR")
GenVisR: An introduction HTML R Script
waterfall: function introduction HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews Classification, DNASeq, DataRepresentation, Infrastructure, Software
Version 1.37.0
In Bioconductor since BioC 3.3 (R-3.3) (8.5 years)
License GPL-3 + file LICENSE
Depends R (>= 3.3.0), methods
Imports AnnotationDbi, biomaRt(>= 2.45.8), BiocGenerics, Biostrings, DBI, GenomicFeatures, GenomicRanges(>= 1.25.4), ggplot2 (>= 2.1.0), gridExtra (>= 2.0.0), gtable, gtools, IRanges(>= 2.7.5), plyr (>= 1.8.3), reshape2, Rsamtools, scales, viridis, data.table, BSgenome, GenomeInfoDb, VariantAnnotation
System Requirements
URL
Bug Reports https://github.com/griffithlab/GenVisR/issues
See More
Suggests BiocStyle, BSgenome.Hsapiens.UCSC.hg19, knitr, RMySQL, roxygen2, testthat, TxDb.Hsapiens.UCSC.hg19.knownGene, rmarkdown, vdiffr, formatR, TxDb.Hsapiens.UCSC.hg38.knownGene, BSgenome.Hsapiens.UCSC.hg38
Linking To
Enhances
Depends On Me
Imports Me
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Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package GenVisR_1.37.0.tar.gz
Windows Binary GenVisR_1.37.0.zip (64-bit only)
macOS Binary (x86_64) GenVisR_1.37.0.tgz
macOS Binary (arm64) GenVisR_1.37.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/GenVisR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/GenVisR
Bioc Package Browser https://code.bioconductor.org/browse/GenVisR/
Package Short Url https://bioconductor.org/packages/GenVisR/
Package Downloads Report Download Stats